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Bright Chromagenic Algorithm for Illuminant Estimation

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This article proposes a new algorithm for illuminant estimation based on the concept of chromagenic color constancy, where two pictures are taken from each scene: A normal one and one where a colored filter is placed in front of the camera. The basic formulation of the chromagenic algorithm has inherent weaknesses, namely, a need for perfectly registered images and occasional large errors in illuminant estimation. Our first contribution is to analyze the algorithm performance with respect to the reflectances present in a scene and demonstrate that fairly bright and de-saturated reflectances (e.g., achromatic and pastel colors) provide significantly better chromagenic illuminant estimation. We thus propose the bright chromagenic algorithm and show that it not only remedies the large error problem but also allows us to relax the image registration constraint. Experiments performed on a variety of synthetic and real data show that the newly designed bright chromagenic algorithm significantly outperforms current illuminant estimation methods, including those having a substantially higher complexity.
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Document Type: Research Article

Affiliations: 1: School of Computing Sciences, University of East Anglia, Norwich, United Kingdom, and School of Computer and Communication Sciences, Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland 2: School of Computing Sciences, University of East Anglia, NR4 7TJ Norwich, United Kingdom

Publication date: 2008-07-01

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

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    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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